Full Stack Developer (AI Agents)

About the Role

We are looking for a Senior Full Stack Developer to design, build, and deploy modern, scalable AI agents and applications that leverage Large Language Models (LLMs). This role requires a strong focus on end-to-end agent development, including building a high-performance React frontend, designing the agentic logic in Python, integrating with backend services, and ensuring production readiness.

Key Responsibilities

• Design, develop, and deploy AI agents for business-critical workflows, with a focus on LLM orchestration and tools.
• Implement complex agentic behaviours using frameworks like LangChain or LangGraph, including ReAct loops for reasoning and action.
• Design and develop a high-performance React application for the agent's user interface.
• Collaborate with backend teams to integrate APIs and services, and build tools for agents.
• Work with middleware (Python/Node.js) to orchestrate agent calls and data flow.
• Implement comprehensive observability and tracing for agent runs and system performance.
• Build reusable, scalable UI components.
• Optimise application performance, responsiveness, and scalability.
• Participate in architectural discussions and contribute to solution design.
• Write clean, maintainable, and testable code with proper documentation.

Required Skills and Experience

• 3+ years of experience in full-stack development, with strong expertise in Python and React.js.
• Proven experience in designing, building, and deploying at least 1 production-deployed AI agent or LLM application.
• Deep expertise in LLM orchestration, prompt engineering, and utilising tools/plugins to extend agent capabilities.
• Experience with agent frameworks like LangChain or LangGraph, including implementing reasoning patterns like the ReAct loop.
• Experience with observability, logging, and tracing for AI agents.
• Experience building large-scale, enterprise-grade applications.
• Strong experience with API integration (REST/GraphQL).
• Experience working in Agile/Scrum environments.

Preferred / Good to Have

• Experience with Node.js or Python for middleware development
• Understanding of Salesforce APIs (REST, Apex, RLM/CPQ)
• Experience with event-driven architectures (webhooks, CDC, async processing)
• Knowledge of CI/CD pipelines and DevOps practices

Experience with Databricks Platform and Mosaic AI

What We’re Looking For

• Strong problem-solving and system design skills
• Ability to work across frontend and backend integration layers
• Ownership mindset with attention to detail
• Good communication and collaboration skills

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook .

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.